Description

  • In new product design role, develop machine learning applications that support the improvement of product/system performance and quality through data analysis and design controls.
  • Build and share python machine learning applications (such as streamlit, gradio).
  • Analyze test report data, identify non-conformances, generate concise and accurate summaries, and recommendations.
  • Extract and analyze multiple data formats, including text and image.
  • Work with cross-functional software and QA teams to determine application requirements.
  • Develop APIs to interface with commercial applications and SQL databases.
  • Support human-in-the-loop analysis and application usage.
  • Contribute to the strategy for reliability assessment and verification of robotic surgical systems and instruments.
  • Log issues found within the issue tracking system.

Required Skills and Experience:

  • Minimum 3 years of experience developing machine learning and data applications.
  • Strong experience with Python is required.
  • Experience with Linux environments.
  • Troubleshooting mindset, an ability to break down a system or process systematically and effectively into subparts to identify failure mechanisms.
  • Excellent documentation skills and ability to communicate effectively at all levels of the organization.
  • BS or above in Computer Science and Engineering or related fields

Key Skills
Education

Any Graduate

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